Chapter 9: Virtual Memory

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Chapter 9 Virtual Memory
2
Chapter 9 Virtual Memory

• Background
• Demand Paging
• Process Creation
• Page Replacement
• Allocation of Frames
• Thrashing
• Demand Segmentation
• Operating System Examples

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Background

• Virtual memory separation of user logical
  memory from physical memory.
• Only part of the program needs to be in memory
  for execution.
• Logical address space can therefore be much
  larger than physical address space.
• Allows address spaces to be shared by several
  processes.
• Allows for more efficient process creation.
• Virtual memory can be implemented via
• Demand paging
• Demand segmentation

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Virtual Memory That is Larger Than Physical Memory
?
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Virtual-address Space
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Shared Library Using Virtual Memory
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Demand Paging

• Bring a page into memory only when it is needed
• Less I/O needed
• Less memory needed
• Faster response
• More users
• Page is needed ? reference to it
• invalid reference ? abort
• not-in-memory ? bring to memory

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Transfer of a Paged Memory to Contiguous Disk
Space
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Valid-Invalid Bit

• With each page table entry a validinvalid bit is
  associated(1 ? in-memory, 0 ? not-in-memory)
• Initially validinvalid bit is set to 0 on all
  entries
• Example of a page table snapshot
• During address translation, if validinvalid bit
  in page table entry is 0 ? page fault

Frame
valid-invalid bit
1
1
1
1
0
?
0
0
page table
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Page Table When Some Pages Are Not in Main Memory
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Page Fault

• If there is ever a reference to a page, first
  reference will trap to OS ? page fault
• OS looks at another table to decide
• Invalid reference ? abort.
• Just not in memory.
• Get empty frame.
• Swap page into frame.
• Reset tables, validation bit 1.
• Restart instruction Least Recently Used
• block move
• auto increment/decrement location

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Steps in Handling a Page Fault
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What happens if there is no free frame?

• Page replacement find some page in memory, but
  not really in use, swap it out
• algorithm
• performance want an algorithm which will result
  in minimum number of page faults
• Same page may be brought into memory several times

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Performance of Demand Paging

• Page Fault Rate 0 ? p ? 1.0
• if p 0, no page faults
• if p 1, every reference is a fault
• Effective Access Time (EAT)
• EAT (1 p) x memory access
• p (page fault overhead
• swap page out
• swap page in
• restart overhead)

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Demand Paging Example

• Memory access time 1 microsecond
• 50 of the time the page that is being replaced
  has been modified and therefore needs to be
  swapped out
• Swap Page Time 10 msec 10,000 usec
• EAT (1 p) x 1 p (15000)
• 1 15000P (in usec)

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Process Creation

• Virtual memory allows other benefits during
  process creation
• - Copy-on-Write
• - Memory-Mapped Files (later)

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Copy-on-Write

• Copy-on-Write (COW) allows both parent and child
  processes to initially share the same pages in
  memoryIf either process modifies a shared page,
  only then is the page copied
• COW allows more efficient process creation as
  only modified pages are copied
• Free pages are allocated from a pool of
  zeroed-out pages

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Page Replacement

• Prevent over-allocation of memory by modifying
  page-fault service routine to include page
  replacement
• Use modify (dirty) bit to reduce overhead of page
  transfers only modified pages are written to
  disk
• Page replacement completes separation between
  logical memory and physical memory large
  virtual memory can be provided on a smaller
  physical memory

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Need For Page Replacement
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Basic Page Replacement

• Find the location of the desired page on disk
• Find a free frame - If there is a free frame,
  use it - If there is no free frame, use a page
  replacement algorithm to select a victim frame
• Read the desired page into the (newly) free
  frame. Update the page and frame tables.
• Restart the process

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Page Replacement
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Page Replacement Algorithms

• Want lowest page-fault rate
• Evaluate algorithm by running it on a particular
  string of memory references (reference string)
  and computing the number of page faults on that
  string
• In all our examples, the reference string is
• 1, 2, 3, 4, 1, 2, 5, 1, 2, 3, 4, 5

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Graph of Page Faults Versus The Number of Frames
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First-In-First-Out (FIFO) Algorithm

• Reference string 1, 2, 3, 4, 1, 2, 5, 1, 2, 3,
  4, 5
• 3 frames (3 pages can be in memory at a time per
  process)
• 4 frames
• FIFO Replacement Beladys Anomaly
• more frames ? more page faults

1
1
4
5
2
2
1
3
9 page faults
3
3
2
4
1
1
5
4
2
2
1
10 page faults
5
3
3
2
4
4
3
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FIFO Page Replacement
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FIFO Illustrating Beladys Anomaly
Beladys anomaly
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Optimal Algorithm

• Replace page that will not be used for longest
  period of time
• 4 frames example
• 1, 2, 3, 4, 1, 2, 5, 1, 2, 3, 4, 5
• How do you know this?
• Used for measuring how well your algorithm
  performs

1
4
2
6 page faults
3
4
5
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Optimal Page Replacement
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Least Recently Used (LRU) Algorithm

• Reference string 1, 2, 3, 4, 1, 2, 5, 1, 2, 3,
  4, 5
• Counter implementation
• Every page entry has a counter every time page
  is referenced through this entry, copy the clock
  into the counter
• When a page needs to be changed, look at the
  counters to determine which are to change

1
5
2
3
4
5
4
3
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LRU Page Replacement
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LRU Algorithm (Cont.)

• Stack implementation keep a stack of page
  numbers in a double link form
• Page referenced
• move it to the top
• requires 6 pointers to be changed
• When a page needs to be replaced, replace the
  page at bottom of stack
• No search for replacement

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Use Of A Stack to Record The Most Recent Page
References
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LRU Approximation Algorithms

• Reference bit
• With each page associate a bit, initially 0
• When page is referenced bit set to 1
• Replace the one which is 0 (if one exists). We
  do not know the order, however.
• Second chance
• Need reference bit
• Clock replacement
• If page to be replaced (in clock order) has
  reference bit 1 then
• set reference bit 0
• leave page in memory
• replace next page (in clock order), subject to
  same rules

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Second-Chance (clock) Page-Replacement Algorithm
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Counting Algorithms

• Keep a counter of the number of references that
  have been made to each page
• LFU Algorithm replaces page with smallest
  count
• MFU Algorithm based on the argument that the
  page with the smallest count was probably just
  brought in and has yet to be used

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Allocation of Frames

• Each process needs minimum number of pages
• Example IBM 370 6 pages to handle SS MOVE
  instruction
• instruction is 6 bytes, might span 2 pages
• 2 pages to handle from
• 2 pages to handle to
• Problem complicated if computer architecture
  allows multiple levels of indirection
• Two major allocation schemes
• fixed allocation
• priority allocation

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Fixed Allocation

• Equal allocation For example, if there are 100
  frames and 5 processes, give each process 20
  frames.
• Proportional allocation Allocate according to
  the size of process

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Priority Allocation

• Use a proportional allocation scheme using
  priorities rather than size
• If process Pi generates a page fault,
• select for replacement one of its frames
• select for replacement a frame from a process
  with lower priority number

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Global vs. Local Allocation

• Global replacement process selects a
  replacement frame from the set of all frames one
  process can take a frame from another
• Local replacement each process selects from
  only its own set of allocated frames

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Thrashing

• If a process does not have enough pages, the
  page-fault rate is very high. This leads to
• low CPU utilization
• operating system thinks that it needs to increase
  the degree of multiprogramming
• another process added to the system
• Thrashing ? a process is busy swapping pages in
  and out

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Thrashing (Cont.)
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Demand Paging and Thrashing

• Why does demand paging work?Locality model
• Process migrates from one locality to another
• Localities may overlap
• Why does thrashing occur?? size of locality gt
  total memory size

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Locality In A Memory-Reference Pattern
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Working-Set Model

• ? ? working-set window ? a fixed number of page
  references Example 10,000 instructions
• WSSi (working set size of Process Pi) total
  number of pages referenced in the most recent ?
  (varies in time)
• if ? too small will not encompass entire locality
• if ? too large will encompass several localities
• if ? ? ? will encompass entire program
• D ? WSSi ? total demand frames
• if D gt m ? Thrashing
• Policy if D gt m, then suspend one of the
  processes

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Working-set model
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Keeping Track of the Working Set

• Approximate with interval timer a reference bit
• Example ? 10,000
• Timer interrupts after every 5000 time units
• Keep in memory 2 bits for each page
• Whenever a timer interrupts copy and set the
  values of all reference bits to 0
• If one of the bits in memory 1 ? page in
  working set
• Why is this not completely accurate?
• Improvement 10 bits and interrupt every 1000
  time units

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Page-Fault Frequency Scheme

• Establish acceptable page-fault rate
• If actual rate too low, process loses frame
• If actual rate too high, process gains frame

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Memory-Mapped Files

• Memory-mapped file I/O allows file I/O to be
  treated as routine memory access by mapping a
  disk block to a page in memory
• A file is initially read using demand paging. A
  page-sized portion of the file is read from the
  file system into a physical page. Subsequent
  reads/writes to/from the file are treated as
  ordinary memory accesses.
• Simplifies file access by treating file I/O
  through memory rather than read() write() system
  calls
• Also allows several processes to map the same
  file allowing the pages in memory to be shared

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Memory Mapped Files
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Memory-Mapped Files in Java

• import java.io.
• import java.nio.
• import java.nio.channels.
• public class MemoryMapReadOnly
• // Assume the page size is 4 KB
• public static final int PAGE SIZE 4096
• public static void main(String args) throws
  IOException
• RandomAccessFile inFile new
  RandomAccessFile(args0,"r")
• FileChannel in inFile.getChannel()
• MappedByteBuffer mappedBuffer
• in.map(FileChannel.MapMode.READ ONLY, 0,
  in.size())
• long numPages in.size() / (long)PAGE SIZE
• if (in.size() PAGE SIZE gt 0)
• numPages

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Memory-Mapped Files in Java (cont)

• // we will "touch" the first byte of every page
• int position 0
• for (long i 0 i lt numPages i)
• byte item mappedBuffer.get(position)
• position PAGE SIZE
• in.close()
• inFile.close()
• The API for the map() method is as follows
• map(mode, position, size)

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Memory-Mapped Shared Memory in Windows
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Allocating Kernel Memory

• Treated differently from user memory
• Often allocated from a free-memory pool
• Kernel requests memory for structures of varying
  sizes
• Some kernel memory needs to be contiguous

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Buddy System

• Allocates memory from fixed-size segment
  consisting of physically-contiguous pages
• Memory allocated using power-of-2 allocator
• Satisfies requests in units sized as power of 2
• Request rounded up to next highest power of 2
• When smaller allocation needed than is available,
  current chunk split into two buddies of
  next-lower power of 2
• Continue until appropriate sized chunk available

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Buddy System Allocator
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Slab Allocator

• Alternate strategy
• Slab is one or more physically contiguous pages
• Cache consists of one or more slabs
• Single cache for each unique kernel data
  structure
• Each cache filled with objects instantiations
  of the data structure
• When cache created, filled with objects marked as
  free
• When structures stored, objects marked as used
• If slab is full of used objects, next object
  allocated from empty slab
• If no empty slabs, new slab allocated
• Benefits include no fragmentation, fast memory
  request satisfaction

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Slab Allocation
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Other Issues Prepaging

• Prepaging
• To reduce the large number of page faults that
  occurs at process startup
• Prepage all or some of the pages a process will
  need, before they are referenced
• But if prepaged pages are unused, I/O and memory
  was wasted
• Assume s pages are prepaged and a of the pages is
  used
• Is cost of s a save pages faults gt or lt than
  the cost of prepaging s (1- a) unnecessary
  pages?
• a near zero ? prepaging loses

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Other Issues Page Size

• Page size selection must take into consideration
• fragmentation
• table size
• I/O overhead
• locality

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Other Issues TLB Reach

• TLB Reach - The amount of memory accessible from
  the TLB
• TLB Reach (TLB Size) X (Page Size)
• Ideally, the working set of each process is
  stored in the TLB. Otherwise there is a high
  degree of page faults.
• Increase the Page Size. This may lead to an
  increase in fragmentation as not all applications
  require a large page size
• Provide Multiple Page Sizes. This allows
  applications that require larger page sizes the
  opportunity to use them without an increase in
  fragmentation.

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Other Issues Program Structure

• Program structure
• Int128,128 data
• Each row is stored in one page
• Program 1
• for (j 0 j lt128 j)
  for (i 0 i lt 128 i)
  datai,j 0
• 128 x 128 16,384 page faults
• Program 2
• for (i 0 i lt 128
  i) for (j 0 j lt
  128 j)
  datai,j 0
• 128 page faults

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Other Issues I/O interlock

• I/O Interlock Pages must sometimes be locked
  into memory
• Consider I/O. Pages that are used for copying a
  file from a device must be locked from being
  selected for eviction by a page replacement
  algorithm.

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Reason Why Frames Used For I/O Must Be In Memory
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Operating System Examples

• Windows XP
• Solaris

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Windows XP

• Uses demand paging with clustering. Clustering
  brings in pages surrounding the faulting page.
• Processes are assigned working set minimum and
  working set maximum
• Working set minimum is the minimum number of
  pages the process is guaranteed to have in memory
• A process may be assigned as many pages up to its
  working set maximum
• When the amount of free memory in the system
  falls below a threshold, automatic working set
  trimming is performed to restore the amount of
  free memory
• Working set trimming removes pages from processes
  that have pages in excess of their working set
  minimum

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Solaris

• Maintains a list of free pages to assign faulting
  processes
• Lotsfree threshold parameter (amount of free
  memory) to begin paging
• Desfree threshold parameter to increasing
  paging
• Minfree threshold parameter to being swapping
• Paging is performed by pageout process
• Pageout scans pages using modified clock
  algorithm
• Scanrate is the rate at which pages are scanned.
  This ranges from slowscan to fastscan
• Pageout is called more frequently depending upon
  the amount of free memory available

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Solaris 2 Page Scanner
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End of Chapter 9